Organizer

Agenda

This session highlights how the M2M IWG can play a role in the Internet of Things and Distributed Sensor Web as well as related technologies like Smart Home, Automotive or Transport/Logistics (allowing containers to automatically notify you if e.g. their temperature changes beyond a healthy range;-) We demonstrate how existing Java standards like JSR 256 (Mobile Sensor API) can be improved or replaced towards a new generation of Java Embedded and Mobile.

Taking technologies like the IEEE 1451 "Smart Sensor" standard into consideration, as well as OGC standards like SensorML or The Unified Code for Units of Measurement (UCUM) allowing type and context safe data transfer using various formats and protocols, whether it is XML, JSON or specific M2M protocols like MQTT.

With the aim of reducing the effort of Internationalization tasks, we developed IDE-integrated tools that allow handling of Internationalization as an integral part of day to day development work. Moreover, the process of resource translation is supported with a single-user RCP and multi-user RAP translation application. This session gives an overview of the TapiJI project as well as a live demo of the key features of the TapiJI tool suite and the RAP-based translation application.

Multiconf provides a set of classes where attributes may have different values for different environments, while enforcing that a value is defined for all defined environments. Multiconf allows you to implement your own DOM and store your complex configuration directly in Python. Multiconf is currently used in our DevOps team to configure WebLogic and Jboss for automatic domain creations in a continous integration setup.

The Spatio-Temporal Epidemiological Modeler (STEM) is an Eclipse based RCP for modeling the global spread of infectious disease. STEM started in the Eclipse Open Healthcare Framework and was later promoted as a top level Eclipse Technology project designed to allow global collaboration on the development of infectious disease models. It embodies a flexible "graph based" representational framework that allows models to be composed from different components provided by different researchers. It also includes extensive data sets that represent the entire political geography of the planet (244 countries) as well as sophisticated mathematical models for predicting disease propagation. STEM also integrates internal views for geographic visualization and as well as offering interfaces to Google Earth. Scenarios can be created using drag-and-drop editors and can include Models that incorporate different layers of abstraction, for instance it can layer economic models "over top" of disease models. Recent versions of STEM got improved and updated disease models especially food-borne diseases like Salmonella or BSE, and vector-borne diseases like Malaria, West-Nile, etc.

If you would like to give a demo, please feel free to add it to the list. Should we receive more submissions than we can fit into the schedule, we will select the ones that we think are most interesting to the audience. Or send an email to werner@catmedia.us .